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Former contre les discriminations (ethno)culturelles

2018· paratext· fr· W4248489017 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRecherche & formation · 2018
Typeparatext
Languagefr
FieldSocial Sciences
TopicEducational Practices and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

En France comme ailleurs, l’École est rappelée à sa mission d’éducation au vivre ensemble et à la démocratie. Dans ce contexte, la lutte contre la discrimination – ici ethnoculturelle – s’est peu à peu constituée comme objet de formation. Pourtant, si une palette d’outils et de nouveaux contenus voient le jour, ceux-ci restent éparpillés et peu lisibles. Inégalement appropriée par les acteurs, cette dimension de la formation est aussi trop peu arrimée à la recherche. Ce dossier entend contribuer à structurer la réflexion dans ce domaine à partir d’une double entrée. D’une part, il tire parti de la recherche sur les phénomènes de discrimination et sur les processus associés (ségrégation, biais d’évaluation ou d’orientation, etc.) afin d’identifier des objets et des leviers de formation. D’autre part, il analyse de manière réflexive des dispositifs de formation dédiés afin d’en dégager les écueils et les potentialités. Les recherches présentées recouvrent quatre contextes : suisse francophone, belge francophone, québécois, français. La comparaison révèle la forte indexicalité de ces questions, tant dans la manière de désigner les groupes discriminés et de construire les problèmes que dans la place occupée par cet objet à l’agenda des politiques éducatives et de formation. In fine, le dossier invite à prendre à bras le corps le débat sur les discriminations ethnoculturelles et à en faire un objet de réflexivité collective, en tenant spécifiquement compte des contextes locaux. In France as elsewhere, schools are reminded of their mission to educate people for coexistence and democracy. In this context, the fight against ethnocultural discrimination has gradually become an object of teacher training. However, while new training content and a range of tools are emerging, they remain scattered and opaque. Unevenly adopted by stakeholders, this dimension of teacher training is also insufficiently linked to research. This issue aims to contribute to structuring the reflection in this area from two complementary perspectives. On the one hand, it takes advantage of research on discrimination and its accompanying school processes (segregation, evaluation or orientation bias, etc.) to identify training objects and levers. On the other hand, it reflexively scrutinises dedicated training methods in order to identify their pitfalls and potentialities. The research presented covers four contexts: French-speaking Switzerland, French-speaking Belgium, Quebec, and France. The comparison reveals the strong indexicality of these questions, both in the way in which discriminated groups are identified and problems are constructed, and in the place this subject occupies on the agenda of education and training policies. To sum up, the dossier invites to tackle the debate on ethnocultural discrimination head-on and make it an object of collective reflexivity, taking specific account of local contexts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.246
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0100.019

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.374
GPT teacher head0.486
Teacher spread0.112 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it